Improved styling of skill tables

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
62/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
matplotlib, python
Domain
data-visualization

Research direction

Start by locating the skill-table implementation and the styling path that accepts keyword arguments, then compare its color normalization with matplotlib's vmin and vmax behavior. Verify the change with a skill-table example containing an outlier, ensuring explicit bounds cap the color scale while the table still renders correctly.

Written by the indexing model from the issue text.

Description

enhancement

When comparing different model runs using the skill table, sometimes it would be great to have finer-grained control over the color-coding. One example could be that you have one outlier (e.g. rmse=800) that ruins the color coding - you would have want to have it capped at 100. With matplotlib you can often do this normlization with the vmin and vmax keywords but that does not work - eventhough style accepts these kwargs.

Dominant language
Python
Stars
56
Forks
9
Avg merge
57m
Merged PRs (30d)
3

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